IoT Map: A Comprehensive Framework for IoT Data Management and Analysis

Abstract

The Internet of Things (IoT) revolutionizes numerous industries by enabling real-time data collection and analysis from a multitude of connected devices. However, the vast amount of data generated by IoT devices presents significant challenges in data management, security, and real-time processing, particularly regarding data storage, real-time processing, security, and predictive modeling. This paper introduces IoTMap, a comprehensive framework designed to streamline IoT data workflows by integrating database management, live sniffing, exploitation testing, and modeling capabilities into a single platform. IoTMap addresses the inefficiencies and fragmentation seen in existing solutions by offering an all-in-one approach that enhances data handling, improves security, and provides real-time insights and predictive analytics. Through extensive testing with a variety of IoT devices, the framework demonstrated high efficiency in data management, effective real-time traffic analysis, robust security assessments, and accurate modeling of IoT environments. IoTMap’s unified and scalable approach positions it as a valuable tool for researchers, developers, and practitioners, facilitating more efficient and effective IoT data management and analysis while paving the way for advanced IoT applications and research.